Discussion on control methods with finite-control-set concept for PMSM drives

Zhenkun Zhang, Zhenbin Zhang, Cristian Garcia, Jose Rodriguez, Weiqing Huang, Ralph Kennel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

This work closely investigates the generalized relationship among the four popular control methods using Finite-Control-Set Model Predictive Control (FCS-MPC)concept for voltage source power converter fed PMSM drivers. The as-investigated control methods include: direct model predictive torque control (DMPTC)in dq frame, direct model predictive current control (DMPCC)in dq frame, direct model predictive current control (DMPCC)in \alpha\beta frame and direct model predictive flux control (DMPFC)in \alpha\beta frame. Our conclusion is that, for nonsaliency based PMSM, DMPTC, DMPCC (both in \alpha\beta and dq frames), DMPFC are theoretically equivalent in achieving the control targets. However, realization effort and computational demands, i.e., the amount calculation required, are different.

Original languageEnglish
Title of host publication2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1718-1723
Number of pages6
ISBN (Electronic)9781538693490
DOIs
Publication statusPublished - 1 May 2019
Event11th IEEE International Electric Machines and Drives Conference, IEMDC 2019 - San Diego, United States
Duration: 12 May 201915 May 2019

Publication series

Name2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019

Conference

Conference11th IEEE International Electric Machines and Drives Conference, IEMDC 2019
Country/TerritoryUnited States
CitySan Diego
Period12/05/1915/05/19

Keywords

  • Direct model predictive current control (DM-PCC)
  • Direct model predictive flux control (DMPFC)
  • Direct model predictive torque control (DMPTC)
  • Permanent magnet synchronous motor (PMSM)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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